One product photo in.
Every channel-ready format out.

E-Commerce

Process Complete4K Deep Etch

Auto Parts Retailer

17,000 SKUs Processed in 2 Days

17,000SKU Images

2Days Turnaround

An American auto parts business needed to rapidly digitize a massive inventory. Traditional cataloging and manual 4K background removal would have taken weeks and cost over $20,000.

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• Rapid Batch Processing: Automated ingestion handled 17,000 images seamlessly.
• 4K Precision: Flawless background removal maintaining complex part geometries.

E-Commerce

Generative EngineAspect Ratio Filled

E-Retail Aggregator

Automating 20,000 Images Monthly

96%Usability Rate

20k+Images / Month

A leading Dutch fashion aggregator managing up to 19,000 SKUs per quarter faced critical bottlenecks. They needed to standardise backgrounds, fill margins, and resize for multiple platforms without expanding their one-person team.

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• Generative Fill: Automatically extended backgrounds for consistent padding.
• Lean Operations: Maintained an agile workflow with zero external reliance.

E-Commerce

Compliance CheckAmazon Specs Met

Amazon Service Provider

Translating Weeks into Days

300Complex SKUs

$1kTotal Cost

An Indian Amazon seller needed to process 300 highly varied, complex SKUs to meet strict marketplace guidelines. Outsourcing to traditional studios meant slow delivery and high fees.

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• Amazon Compliance: Perfect pure-white backgrounds and tight crops.
• Speed to Market: Reduced timeline from weeks to mere days.

E-Commerce

Batch Processing3,000 Assets

German E-Commerce Seller

3,000 SKUs Processed in Days

3,000SKUs Processed

$200Total Cost

Facing a massive backlog of 3,000 product images needing diverse edits—from resizing and background removal to AI-driven background fills—a prominent German e-commerce seller turned to ZYNG AI. Tasks that normally took weeks were completed for as little as $200.

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• Automation at Scale: Processed 3,000 SKUs in parallel to drastically reduce turnaround time.
• Cost-Effective: Completed the entire batch for just $200, slashing operational costs.

E-Commerce

Korean Ecommerce

4,200 SKUs Automated Monthly

4,200SKUs / Month

HoursTurnaround Time

A pioneering Korean ecommerce seller revolutionized its product imagery workflow by automating image edits for 4,200 SKUs monthly. ZYNG AI handled multi-aspect ratio adjustments, background removal, and style enhancements at unbeatable speed.

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• Multi-Aspect Ratios: Optimized product images for various platforms and devices instantly.
• High Volume: Rapid turnaround for 4,200 monthly SKUs without losing consistency.

E-Commerce

Gen-Fill96% Usability

Saudi Footwear eCommerce

11,300 Images Processed In-House

11,300Images Processed

96%Usability Rate

A leading Saudi footwear eCommerce company redefined its image processing workflow. Leveraging ZYNG AI for generative fill, background creation, and image resizing across 11,300 product images, they achieved impressive usability entirely in-house.

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• High Usability: Achieved a 96% usability rate on automated edits.
• In-House Execution: Fully managed by the internal team without external agency support.

Studios

Batch Enhancer750 Assets Synced

Professional Photography

750+ Wedding Photos Enhanced in 2 Hours

750+Photos Edited

70%Time Saved

A professional wedding photographer struggled with post-production backlogs. Manually retouching hundreds of high-resolution images delayed album delivery to clients.

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• Consistent Retouching: Automated skin smoothing while preserving natural textures.
• Format Adaptation: Intelligently framed shots for digital and print formats.

Studios

Export FormatLayered TIFF Ready

High-End Studio

300% Faster High-Res Retouching

300%Faster Workflow

2xClient Capacity

An editorial photo studio needed to process 4K and 8K portrait images rapidly. Manual skin retouching at these resolutions severely limited their daily client capacity.

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• Non-Destructive Workflow: Outputting layered TIFFs allowed for final tweaks in Photoshop.
• Automated Heavy Lifting: Handled background removal and face retouching instantly.

Generative AI

AI DiffusionIdentity Replaced

Fashion E-Commerce

25% CTR Boost with AI Model Diversity

25%Higher CTR

70%Cost Savings

An East European fashion brand wanted to run demographically targeted ad campaigns across different regions but couldn't afford to reshoot their entire catalog with diverse models.

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• Model Swap: Instantly replaced base models to match target markets.
• A/B Testing: Deployed personalized imagery rapidly, increasing ad engagement.

Generative AI

Computer VisionTexture Isolated

Australian Fashion House

Automating Swatch Extraction for 1,500+ SKUs

1,500+SKUs Extracted

MinsProcessing Time

Cataloging highly accurate fabric swatches manually for 1,500 new SKUs would traditionally tie up design resources for weeks, requiring meticulous cropping and color balancing.

Generative AI

Computer VisionSwatch Isolated

Japanese Fashion E-commerce

Swatch Extraction for 25,000 SKUs

25k+SKUs Extracted

98%Swatch Accuracy

A prominent Japanese fashion accessories seller automated swatch extraction and image resizing for an enormous catalog of 25,000 SKUs. ZYNG AI replaced inefficient manual editing, ensuring flawless visual merchandising.

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• Swatch Extraction: Accurate pattern and texture isolation using AI algorithms.
• Massive Scale: 80% time reduction processing 25K+ items.

Generative AI

Outpainting16:9 Ratio Generated

Sustainable Fashion Brand

Subject-Driven Fill for Omni-Channel

100%Platform Coverage

90%Time Saved

An Indian brand struggled to adapt editorial photography across 1:1, 4:5, and 16:9 aspect ratios without awkwardly cropping the model or the garment.

Generative AI

AI DiffusionModel Swap Applied

North American Fashion Brand

13,000 SKUs Processed for $1,000

13,000SKUs Processed

$1kTotal Cost

A leading North American fashion brand processed 13,000 SKUs—covering tasks such as resizing, background removal, AI-driven background fills, and model swaps—in just a few days using ZYNG AI.

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• Complex Editing: Background fills and model swaps handled concurrently.
• Cost Savings: Avoided tens of thousands of dollars in manual editing costs.

Infrastructure

Batch Job Status72 DPI Complete

Content Management House

30,000 Images Converted to 72 DPI in Hours

30kImages Converted

85%Cost Reduction

A content management firm needed to web-optimize a massive archive of 30,000 images down to 72 DPI. Manually running Photoshop actions tied up local machines for weeks.

Infrastructure

Batch Pipeline14K Processed

English E-Retail Aggregator

14,000 Images Monthly with 2-Person Team

14kImages / Month

2Team Members

An English fashion e-retail aggregator automated their entire workflow—from generative fill to background creation and resizing—scaling up to 14k images every month with a dedicated in-house team of just two.

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• Lean Operations: Maintained a 2-person team for massive volume.
• Quality Assurance: Achieved a consistent 96% usability rate across batches.

Infrastructure

Auto-ResizeFormat Optimized

French E-Retail Aggregator

20,000+ Images Monthly

20k+Images / Month

80%Time Saved

Facing the daunting task of managing up to 22,000 product images each month, a renowned French e-retail aggregator leveraged ZYNG AI to automate generative fill and resizing, cutting manual time by 80%.

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• Batch Resizing: Efficiently processed thousands of images for multiple platforms.
• Time Saved: 80% reduction in manual editing time.

Infrastructure

Quality Check98% Pass Rate

Italian E-Retail Aggregator

19,000 Images Monthly with 98% Usability

19kImages / Month

98%Usability Rate

An Italian fashion e-retail aggregator redefined digital asset management with ZYNG AI. By automating background generation and generative fill, they processed up to 19k images monthly with an outstanding 98% usability.

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• Visual Integrity: Maintained brand consistency without manual intervention.
• High Yield: 98% usability across large-scale batches.

Studio Engines

Try-On Synthesized1.8s · Identity Locked

DTC Apparel Brand · VTON

Real-Time Try-On Cut Returns by 31%

<2sRender Time

31%Returns Reduction

A digitally native apparel brand wanted shoppers to see garments on their own body before checkout. With the ZYNG OS VTON engine, a single shopper selfie maps any catalog garment in under two seconds—identity, proportions, fabric drape and studio lighting preserved—with no reshoots and no model bookings.

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• Sub-2-Second Render: Custom-trained diffusion models drape any garment onto a single selfie in real time.
• Identity Locked: Proportions, drape and base lighting stay consistent across every SKU in the range.
• Fewer Returns: On-body preview reduced fit-related returns across the catalog.

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Studio Engines

Look CompositedIdentity Consistent

Multi-Brand Retailer · Mix & Match

One Shoot, 4,800 On-Model Looks

4,800Looks Generated

1Base Shoot

A multi-brand fashion retailer was booking a fresh shoot every time a top or bottom changed. With ZYNG OS Mix & Match, one locked base model fuses with interchangeable tops and bottoms to generate thousands of photorealistic combinations from a single session—model identity, lighting and drape consistent across every pairing.

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• Zero Reshoots: Every new combination composites onto the same locked base model with natural drape physics.
• Living Lookbook: Shoppers browse outfit permutations and add the full look to bag in a single tap.
• Higher Basket Size: "Complete the look" pairings lifted average order value across the storefront.

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Studio Engines

Quality Check97% Front View

Fashion Marketplace · QC Vision

Hero-Frame Selection Across 60,000 SKUs

60kSKUs Audited

97%Hero Accuracy

A fashion marketplace ingested dozens of unsorted frames per product from hundreds of vendors. ZYNG OS QC Vision scores every frame for unobstructed front-view garment visibility, locks onto the single best hero image per SKU, and flags low-usability shots—removing manual sorting entirely.

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• Automated Scoring: Each frame is scored by front-view garment area and the best image is selected automatically.
• Defect Flagging: Blurry, obstructed and off-angle shots are caught before they reach the storefront.
• No Manual QC: Hours of human review collapsed to seconds per SKU.

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Studio Engines

Format PipelineWebP · −91% Payload

Global Fashion Catalog · Standardize

One Master, Every Channel Format

91%Lighter Files

3Ratios / SKU

A global fashion catalog needed every vendor photo delivered as a 1:1 marketplace tile, a 3:4 PDP hero and a 9:16 story—in brand-locked colors and channel-specific file budgets. ZYNG OS Image Standardization outpaints, recolors, crops and compresses every raw shot into channel-ready WebP automatically.

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• Generative Outpaint: One hero shot becomes 1:1, 3:4 and 9:16 ratios with zero reshoots.
• Padding Lock: Identical proportional padding across the catalog keeps category grids pixel-perfect.
• Lighter Payload: Masters compressed up to 91% smaller, visually lossless, sized to each channel's budget.

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